Which of the following technologies is deterministic?

A deterministic technology is one where a given input will consistently produce the same output by following a fixed set of rules or algorithms. Among the choices, "Analytics" is the most fitting description. In the AIOps context, this often refers to traditional, rule-based analytics, such as a predefined query to count error logs or a system that triggers an alert based on a fixed threshold (e.g., CPU > 90%). These operations are predictable and repeatable. The other options are all forms of artificial intelligence that are inherently probabilistic, not deterministic.

A. Machine Learning models are probabilistic, built on statistical inference from data to make predictions, not on fixed, deterministic rules.
B. Artificial Intelligence is a broad field encompassing machine learning; its advanced forms aim for adaptive, non-deterministic behavior.
C. Neural networks are a specific type of machine learning model and are fundamentally probabilistic in how they learn and make predictions.

1. Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson. Chapter 1 distinguishes between systems that act rationally based on logical, deterministic reasoning versus those that learn from data, which is the basis of probabilistic ML.

2. PeopleCert. (2022). PeopleCert AIOps Foundation Candidate Syllabus. Section 3.1, "Key AIOps technologies," differentiates between deterministic approaches like "rule-based event correlation" and probabilistic approaches like "machine learning-based anomaly detection."